An Extensible and Modular Cloud-Enabled Vehicle Tracking System Using Raspberry Pi Zero 2 W

Today, efficient fleet management and real-time visibility are crucial. They find applications in the fields of delivery and logistics and transportation, among others. This paper proposes a Vehicle Tracking System (VTS) using low-cost components and advanced software integrations to provide a complete solution. This system can be customized to allow for the usage of variable data formats, data storage providers, and parameters to be tracked. Each remote node, deployed on a fleet vehicle, is composed of an integrated system of a single-board computer, a GPS communications device, and a cellular network service communications provider. The proposed backend of the system uses Firebase for hosting and data storage and a web app with a frontend written in React.js for the user view. Data visualization, interaction, and ease of use are centric to the user view of the proposed system. The frontend displays key statistics like logged coordinates and speed information against each path detected by the remote monitoring node with appropriate visualization tools. The proposed system can be scaled to work on small, medium, and large-sized fleets of vehicles. Its customizability offers it the scope for future development of new features like geo-fencing applications and emergency alert systems.